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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    terms related to cause and effect, specifically focusing on identifying causal relationships or attributing responsibility for actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to causation and conspiracy theories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gro
    -0.77
     Hendricks
    -0.72
     HUN
    -0.68
     Unle
    -0.66
    edom
    -0.63
     Dew
    -0.61
    HCR
    -0.60
     Maw
    -0.59
     Mew
    -0.59
    ISTER
    -0.57
    POSITIVE LOGITS
    rils
    0.92
    atorial
    0.89
    rigan
    0.85
    ential
    0.83
    thood
    0.82
    amera
    0.82
    orius
    0.80
    cious
    0.78
    arbon
    0.78
    leneck
    0.77
    Activations Density 0.035%

    No Known Activations